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Christopher Basgier; Lydia Wilkes – College Composition and Communication, 2025
From an unsettled, ambivalent middle between discourses of generative AI integration and refusal, we offer a critical-ethical stance for AI-engaged writing assignments. We apply a critical thinking framework to these assignments, assert critical AI literacy as a kind of critical thinking, and discuss how critical thinking and critical AI literacy…
Descriptors: Artificial Intelligence, Writing Assignments, Critical Thinking, Digital Literacy
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Gray, Brenna Clarke – Collected Essays on Learning and Teaching, 2023
This paper reviews the Digital Detox project at TRU. At TRU, the Digital Detox is not necessarily about abstaining from technology altogether, but rather establishing a more ethical, healthier approach to the tools we are required to use every day. Conceived this way, a Digital Detox offers an approachable opportunity to discuss difficult and…
Descriptors: Educational Technology, Ethics, Partnerships in Education, Universities
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S. Kathleen Krach; Stephanie Corcoran – Contemporary School Psychology, 2024
The field of school psychology has seen the gradual implementation of technology in day-to-day practice. The earliest computer-based technology adopted by school psychologists consisted of software programs used to score tests, run analyses for multi-tiered systems of support, and aid in tele-consultation. These tasks have one thing in common;…
Descriptors: Computer Uses in Education, School Psychologists, School Psychology, Computer Assisted Testing
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Federica Picasso; Javiera Atenas; Leo Havemann; Anna Serbati – Open Praxis, 2024
The development of critical data and artificial intelligence (AI) literacy has become a key focus in current discussions in Higher Education, thus it is necessary to develop and advance capacity building, reflectiveness and awareness across disciplines to critically address the possibilities and challenges presented by data and AI. In this paper,…
Descriptors: Undergraduate Students, College Faculty, Artificial Intelligence, Data Collection
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Claudio M. Radaelli – Teaching Public Administration, 2025
How can science have more impact on policy decisions? The P-Cube Project has approached this question by creating five pedagogical computer games based on missions given to a policy entrepreneur (the player) advocating for science-informed policy decisions. The player explores simplified strategies for policy change rooted in a small number of…
Descriptors: Computer Games, Computer Uses in Education, Policy Formation, Graduate Students
Marley Belot – Online Submission, 2025
Artificial intelligence (AI) has appeared as a transformative force in education, influencing how instruction is designed, delivered, and assessed across the United States. This paper examines AI's growing role in improving educational outcomes through personalization, accessibility, and data-driven decision-making. Drawing upon research from the…
Descriptors: Artificial Intelligence, Influence of Technology, Educational Trends, Technology Integration
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Dignum, Virginia – London Review of Education, 2021
Artificial intelligence (AI) is impacting education in many different ways. From virtual assistants for personalized education, to student or teacher tracking systems, the potential benefits of AI for education often come with a discussion of its impact on privacy and well-being. At the same time, the social transformation brought about by AI…
Descriptors: Artificial Intelligence, Computer Uses in Education, Educational Change, Social Change
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Ben-Jacob, Marion G. – Journal of Educational Technology Systems, 2017
This article deliberates concepts of Internet ethics from the perspectives of user and providers. It discusses concerns of the users from different disciplines. It addresses issues and corresponding regulations of service providers. It considers matters of privacy. The culmination is an exercise for students that incorporates usage of the Internet…
Descriptors: Internet, Ethics, Privacy, Computer Networks
European University Association, 2016
The purpose of this document is to provide guidelines for the continued implementation of reforms in doctoral education building on the Salzburg Principles and Recommendations. It is directed at university leaders who want to continue and deepen the implementation of Salzburg at the strategic level, ensuring a consistent, institution-wide approach…
Descriptors: Doctoral Programs, Educational Change, Program Implementation, Foreign Countries
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Pardo, Abelardo; Siemens, George – British Journal of Educational Technology, 2014
The massive adoption of technology in learning processes comes with an equally large capacity to track learners. Learning analytics aims at using the collected information to understand and improve the quality of a learning experience. The privacy and ethical issues that emerge in this context are tightly interconnected with other aspects such as…
Descriptors: Ethics, Privacy, Learning, Data Analysis
Moradi Sheykhjan, Tohid – Online Submission, 2017
Our goal for this paper discusses the main research ethical concerns that arise in internet research and reviews existing research ethical guidance in relation to its application for educating digital citizens. In recent years we have witnessed a revolution in Information and Communication Technologies (ICTs) that has transformed every field of…
Descriptors: Internet, Online Searching, Educational Research, Social Science Research
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Pascoe, C. J. – Theory Into Practice, 2012
A lack of good information about what youth are doing with new media stimulates fears and hopes about the relationship between young people and digital technologies. This article focuses on new modes of inquiry into youth new media use, highlighting the challenges, complexities, and opportunities inherent in studying young people's digital…
Descriptors: Qualitative Research, Educational Innovation, Young Adults, Ethics
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Al-Qahtani, Awadh A. Y.; Higgins, S. E. – Journal of Computer Assisted Learning, 2013
The study investigates the effect of e-learning, blended learning and classroom learning on students' achievement. Two experimental groups together with a control group from Umm Al-Qura University in Saudi Arabia were identified randomly. To assess students' achievement in the different groups, pre- and post-achievement tests were used. The…
Descriptors: College Students, Blended Learning, Educational Technology, Conventional Instruction
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Waller, E.; Kaye, M. H. – European Journal of Engineering Education, 2012
Problem solving is an essential skill for nuclear engineering graduates entering the workforce. Training in qualitative and quantitative aspects of problem solving allows students to conceptualise and execute solutions to complex problems. Solutions to problems in high consequence fields of study such as nuclear engineering require rapid and…
Descriptors: Environmental Education, Safety, Problem Solving, Engineering
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Hall, Susan E. – Business Communication Quarterly, 2011
Plagiarism can be "plaguing" if it is not discussed, understood, and enforced by the professor right at the beginning of the course and throughout the semester. Students usually don't "have" to cheat or plagiarize; they do so mainly because "they can." Professors who turn a deaf ear or a blind eye to students who plagiarize create deleterious…
Descriptors: Plagiarism, Cheating, Ethics, Student Behavior
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